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| 1 | +import { describe, expect, it } from "vitest"; |
| 2 | +import type { Context, Model } from "@earendil-works/pi-ai"; |
| 3 | +import { stream } from "@earendil-works/pi-ai/api/openai-responses"; |
| 4 | + |
| 5 | +const model: Model<"openai-responses"> = { |
| 6 | + id: "responses-test", |
| 7 | + name: "Responses Test", |
| 8 | + api: "openai-responses", |
| 9 | + provider: "acme", |
| 10 | + baseUrl: "https://api.acme.test/v1", |
| 11 | + reasoning: false, |
| 12 | + input: ["text"], |
| 13 | + cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 }, |
| 14 | + contextWindow: 128000, |
| 15 | + maxTokens: 4096, |
| 16 | +}; |
| 17 | + |
| 18 | +const context: Context = { |
| 19 | + messages: [{ role: "user", content: "hi", timestamp: Date.now() }], |
| 20 | +}; |
| 21 | + |
| 22 | +const completedEvent = { |
| 23 | + type: "response.completed", |
| 24 | + sequence_number: 2, |
| 25 | + response: { |
| 26 | + object: "response", |
| 27 | + id: "resp_1", |
| 28 | + created_at: 1, |
| 29 | + model: "responses-test", |
| 30 | + output: [ |
| 31 | + { |
| 32 | + id: "item_1", |
| 33 | + type: "message", |
| 34 | + role: "assistant", |
| 35 | + content: [{ type: "output_text", text: "hello" }], |
| 36 | + status: "completed", |
| 37 | + }, |
| 38 | + ], |
| 39 | + status: "completed", |
| 40 | + usage: { |
| 41 | + input_tokens: 5, |
| 42 | + input_tokens_details: { cached_tokens: 0 }, |
| 43 | + output_tokens: 2, |
| 44 | + output_tokens_details: { reasoning_tokens: 0 }, |
| 45 | + total_tokens: 7, |
| 46 | + }, |
| 47 | + }, |
| 48 | + output_index: 0, |
| 49 | +}; |
| 50 | + |
| 51 | +/** SSE body that emits the terminal event and then never ends. */ |
| 52 | +function hangAfterTerminalBody(): ReadableStream<Uint8Array> { |
| 53 | + const encoder = new TextEncoder(); |
| 54 | + return new ReadableStream({ |
| 55 | + start(controller) { |
| 56 | + controller.enqueue( |
| 57 | + encoder.encode( |
| 58 | + `event: response.created\ndata: ${JSON.stringify({ type: "response.created", sequence_number: 0, response: { id: "resp_1" } })}\n\n`, |
| 59 | + ), |
| 60 | + ); |
| 61 | + controller.enqueue( |
| 62 | + encoder.encode( |
| 63 | + `event: response.output_text.delta\ndata: ${JSON.stringify({ type: "response.output_text.delta", sequence_number: 1, output_index: 0, content_index: 0, delta: "hello" })}\n\n`, |
| 64 | + ), |
| 65 | + ); |
| 66 | + controller.enqueue( |
| 67 | + encoder.encode(`event: response.completed\ndata: ${JSON.stringify(completedEvent)}\n\n`), |
| 68 | + ); |
| 69 | + // Terminal event delivered; never enqueue again and never close(). |
| 70 | + }, |
| 71 | + }); |
| 72 | +} |
| 73 | + |
| 74 | +describe("OpenAI Responses stream termination (issue #130)", () => { |
| 75 | + it("completes the turn without waiting for the server to close the connection", async () => { |
| 76 | + const streamBody = hangAfterTerminalBody(); |
| 77 | + const fetchImpl = async () => |
| 78 | + new Response(streamBody, { |
| 79 | + status: 200, |
| 80 | + headers: { "content-type": "text/event-stream" }, |
| 81 | + }); |
| 82 | + |
| 83 | + const events = await stream(model, context, { apiKey: "sk-test", fetch: fetchImpl as any }); |
| 84 | + const seen: string[] = []; |
| 85 | + // Reading to completion must not hang: with the fix the stream consumer |
| 86 | + // stops after the terminal event, so `result()` resolves promptly. |
| 87 | + const result = await Promise.race([ |
| 88 | + events.result(), |
| 89 | + new Promise<never>((_, reject) => |
| 90 | + setTimeout(() => reject(new Error("stream hung after response.completed")), 5000), |
| 91 | + ), |
| 92 | + ]); |
| 93 | + |
| 94 | + for await (const event of events) { |
| 95 | + seen.push(event.type); |
| 96 | + } |
| 97 | + |
| 98 | + expect(seen).toContain("done"); |
| 99 | + expect(result.stopReason).toBe("stop"); |
| 100 | + expect(result.usage.totalTokens).toBe(7); |
| 101 | + }, 10000); |
| 102 | +}); |
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